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Build and deploy reliable AI agents within defense program teams. Responsibilities include mapping workflows, designing automation roadmaps, integrating agents with enterprise systems, creating evaluation frameworks and regression tests, monitoring production behavior, and implementing auditability. The role also involves change management, workforce training, stakeholder engagement, and developing reusable AI playbooks. Candidates need software or machine learning experience, production generative AI expertise, Python or TypeScript skills, enterprise integration experience, and the ability to obtain a Secret clearance.

Develop front-end web applications from concept through production using JavaScript or TypeScript frameworks. Build Node.js solutions, conduct usability analysis, create automated unit and end-to-end tests, collaborate with software teams, solve complex problems, and improve system architecture. The role requires a Top Secret clearance and the ability to obtain Security+ or CISSP certification within 30 days.

Develops and maintains user and entity behavior analytics, behavioral baselines, anomaly detections, risk indicators, dashboards, and cybersecurity monitoring workflows. Analyzes telemetry across users, devices, applications, networks, cloud environments, and security platforms to identify threats, insider risk, account compromise, and anomalous activity. Collaborates with security operations, threat analysts, incident responders, data scientists, and AI engineers to improve detections, reduce false positives, and support investigations.

Owns DoD Risk Management Framework governance and authorization-package maintenance. Responsibilities include administering eMASS, maintaining security artifacts, managing POA&Ms, analyzing STIG and vulnerability findings, assessing system changes and interconnections, validating controls and evidence, and coordinating continuous monitoring with ISSMs, engineers, system owners, and stakeholders.

Design, build, and operationalize reproducible AI/ML pipelines and automation for mission-critical systems. Troubleshoot CI/CD and containerized workloads, integrate AI capabilities with infrastructure and security, and support resilient hybrid compute operations to enhance warfighting decision support.

Design and develop complex applications using Node.js, TypeScript, SQL, PostgreSQL, Redis, and Elasticsearch. Collaborate cross-functionally to create scalable solutions, anticipate technical issues, and support system architecture. Perform automated testing and maintenance. The role requires a TS/SCI clearance with polygraph and substantial software development experience, along with a bachelor's or master's degree. Preferred experience includes Java, JavaScript, SharePoint, Oracle, MongoDB, Solr, OpenAI, and other AI technologies.

Build and operate agentic full-stack systems across Python/FastAPI microservices and React or TypeScript interfaces. Responsibilities include database migrations, authorization, Kubernetes-based LLM inference, Terraform infrastructure, air-gapped deployments, CI/CD, and reviewing AI-generated code. The role also develops agent harnesses, evaluations, tests, and secure multi-tenant architectures while supporting classified-environment requirements.

Develop and architect complex software applications for intelligence-sector challenges. The role uses Node.js, TypeScript, SQL, PostgreSQL, Redis, and Elasticsearch while collaborating cross-functionally, creating automated tests, and maintaining application solutions. Candidates must hold a TS/SCI clearance with polygraph, possess a bachelor’s degree with 10+ years of experience or a master’s degree with 8+ years, and complete a skills assessment.

Designs and refines prompts, builds LLM-powered workflows and retrieval-augmented systems, and develops scalable AI/ML solutions for enterprise and sensitive-data environments. The role involves Python development, prompt testing, data workflows, system integration, documentation, troubleshooting, and collaboration across technical and mission teams. Candidates support responsible AI practices and may work with vector databases, Azure AI services, regulated data, and multi-step LLM tools.

Owns DoD Risk Management Framework governance and authorization-package maintenance. Manages eMASS records, SSPs, continuous monitoring, POA&Ms, control evidence, security impact assessments, interconnection agreements, and connection reviews. Analyzes STIG, SCAP, ACAS, Nessus, and vulnerability findings; validates remediation and risk acceptance evidence; assesses system boundaries, data flows, inherited controls, and network security posture. Coordinates with ISSMs, engineers, system owners, and stakeholders to support authorization and continuous-monitoring reviews.